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Instacart·Data Scientist·Onsite - Cross-functional / Panel·Senior

Senior
May 2026

Summary

Instacart data scientist interview with a pretty brutal prioritization scenario, the kind where there's no clean answer and they're clearly watching how you think under pressure rather than whether you land on the 'right' framework.

Questions Asked (1)

Q1

You have three deliverables all due this Friday: the CFO wants a revenue forecast update, a PM needs an experiment readout before a Monday launch decision, and Ops has escalated a P0 data quality issue that's breaking dashboards. You have 8 hours and no one to delegate to. Walk through how you'd prioritize, what sequence you'd follow, what you'd drop or push back on, and what you'd actually say to each stakeholder.

Stakeholder ManagementRoadmap PrioritizationCross-functional Alignment
Author's notes

This one took me a minute to even parse.

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AI HintsAI Generated

Suggested Approach

Start by quickly assessing the impact and urgency of each deliverable, then prioritize the P0 data quality issue first because it blocks critical dashboards and could have downstream effects. Next, tackle the experiment readout to inform the Monday launch decision, and finally work on the revenue forecast update, communicating proactively with stakeholders about timelines and trade-offs.

Pro tip: Frame your prioritization in terms of business impact and risk mitigation, and propose a concrete plan with specific times for each deliverable to show you can manage expectations and deliver under pressure.

1. Assess Impact and Urgency

Evaluate each deliverable based on business impact, urgency, and dependencies. The P0 data quality issue likely has the highest immediate impact as it affects critical dashboards and may block other work.

2. Prioritize and Sequence

Prioritize the P0 issue first, then the experiment readout (since it informs a Monday decision), and finally the revenue forecast. Allocate time blocks: e.g., 3 hours for P0, 3 hours for experiment readout, 2 hours for forecast.

3. Communicate with Stakeholders

Proactively inform each stakeholder of your plan, adjusted timelines, and any trade-offs. Be transparent about what you can deliver and when, and offer alternatives if needed.

4. Execute and Monitor

Work efficiently on the prioritized tasks, monitoring progress and adjusting as needed. If the P0 takes longer, communicate delays early and reprioritize.

5. Deliver and Follow Up

Deliver each item as completed, ensuring quality. Follow up with stakeholders to confirm satisfaction and address any remaining concerns.

Key Points to Mention

  • Impact vs. urgency matrix to objectively rank tasks
  • Dependencies: P0 issue may block other work or affect data accuracy
  • Proactive communication with stakeholders about trade-offs and timelines
  • Time-boxing: allocate specific hours to each task to stay on track
  • Risk mitigation: address the P0 first to prevent further damage
  • Negotiation: push back on non-critical aspects of the forecast or experiment readout if needed

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.